Zscaler had 21 patents in cybersecurity during Q4 2023. Zscaler Inc’s patents in Q4 2023 cover a range of technologies including egress handling for networks with Public IP addresses, native browser features in Cloud Browser Isolation environments, user performance monitoring, sandboxing files with machine learning, and breach prediction via machine learning. These technologies aim to enhance network security, user experience, and predictive capabilities for enterprises. GlobalData’s report on Zscaler gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Zscaler grant share with cybersecurity as a theme is 61% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Egress handling for networks with public internet protocol (IP) address (Patent ID: US20230421478A1)
The patent filed by Zscaler Inc. relates to systems and methods for egress handling in networks using public IP addresses. The disclosure involves identifying the use of public IP addresses on private networks, performing traceroutes to determine tunnel origins, and making location calls to end nodes to obtain egress information. Additionally, the patent includes providing continuous network paths in the absence of tunnels and differentiating egress points based on traceroute responses.
The patent claims encompass a computer-readable medium and a cloud-based system with instructions for obtaining egress information in private networks with public IP addresses. The claims detail steps such as identifying public IP usage, tracerouting to edge nodes, and utilizing REST APIs for egress and tunnel data retrieval. The claims also address scenarios where tunnels are absent, different egress points are identified, and various tunnel types like GRE and IPSEC are considered. Overall, the patent focuses on efficient egress handling in networks with public IP addresses through systematic identification and retrieval processes.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
